Lead Product Manager, Retail Market Data

Salary: $118000 - 197000 per year Requirements: We require a bachelors degree in a relevant field plus 6+ years of related experience, or a masters degree plus 4+ years of related experience, or 10+ years of experience in a related field. We are looking for 6+ years of experience in Product Management, Analytics, or a similar function, ideally supporting back-end data products, data platforms, or data pipeline products. We need strong SQL skills and the ability to query data to assess product quality, coverage, and stakeholder needs. We expect a solid understanding of data products, APIs, data pipelines, and cloud data platforms. We value comfort with technical data flow and architecture discussions. We want excellent communication skills, including the ability to present to leadership and explain technical concepts to business audiences. Preferred: knowledge of the retail automotive market and dealer pricing dynamics. Preferred: experience with data stewardship, data governance, or data quality management. Preferred: experience managing external vendor relationships. Preferred: familiarity with Agile methods and backlog tools, with Rally experience preferred. Responsibilities: We own the retail market data product end to end, including cleansing, quality standards, coverage, and publication. We help shape data sourcing and acquisition strategy by evaluating new sources and expanding into new markets. We serve as the internal authority on this data product, advising teams on how to interpret and apply the data effectively. We partner with stakeholders to assess new use cases, identify pain points, and determine where product changes are needed to create business value. We define and monitor data quality, coverage, freshness, and adoption metrics. We evolve the product as the retail vehicle market changes, translating dealer pricing needs into data requirements. We ensure product requirements are reflected in the modernization and growth roadmap, working with engineering and architecture on pipeline and infrastructure decisions. We lead product execution across two engineering delivery teams using Agile practices. We maintain a well-prioritized backlog with clear requirements and acceptance criteria. We align stakeholders at all levels, communicating priorities and trade-offs. We participate in external vendor discussions, including expectations for data quality and opportunities for expansion. We work with front-end product teams that consume this data so the product supports their roadmaps. We collaborate with data science and analytics teams using the data for reporting, forecasting, and insights. We translate technical product decisions into business impact for non-technical audiences. Technologies: Cloud Flow SQL Support More: We own a retail market data product at Vantage Compute that delivers comprehensive retail vehicle listing coverage across the US and Canada, helping dealers benchmark inventory pricing and supporting analytics and data science across the enterprise. This is a true data ownership role, giving us responsibility for the products quality, coverage, and evolution as the retail vehicle market changes, while also guiding internal users on how to interpret and apply the data. Compensation includes a base salary of $111,500 to $185,900 per year, with possible additional incentive pay depending on the role and candidate factors such as location, skills, and experience. Eligible employees also receive flexible vacation, seven paid holidays, up to 160 hours of paid wellness time annually, and additional paid time off for bereavement, voting, jury duty, volunteer service, military leave, and parental leave. We are an equal opportunity employer, including disability and veterans. last updated 27 week of 2026